Department of Computer Science

Artificial Intelligence and Machine Learning

Fundamentals and practical impact of AI on businesses and societies.
Artificial Intelligence applications, illustration Matti Ahlgren

AI is a major focus area of Aalto University and the Department of Computer Science. Building on the department's strong tradition that includes neural network pioneers Teuvo Kohonen and Erkki Oja.

Our research contributes both to the fundamentals of AI across its many subfields, as well as to the accelerating practical impact AI has on businesses and societies.

The Department of Computer Science is a key player in the Finnish Center for Artificial Intelligence FCAI, a major ecosystem of academic, private and public sector partners.

Machine Learning Coffee Seminar
Researchers having a discussion in a meeting room with their laptops open on the table

Engineering enzymes with AI

A research team from Aalto University and VTT will construct a virtual laboratory for enzyme engineering, which will allow human-AI collaboration to flourish.

Kuvituskuvassa on vaaleanpunaisella pohjalla mustavalkoiset ihmiskasvot ja niiden yläpuolella sinisävyinen piirroskuva aivoista. Kasvojen ympärillä on yksittäisiä sanoja kuten "jungle" ja "tomato" sekä aivosähkökäyrää symboloiva aaltoviiva.

Artificial intelligence to assist the brain

Neuroscience and neurotechnology are gaining a fresh ally in the form of artificial intelligence, which can assess dementia risk and enhance the effectiveness of depression treatments.


Forbes AI Award to research on image-creating GAN models

The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images


Related research groups

Latest publications

New methods for drug synergy prediction : A mini-review

Fatemeh Abbasi, Juho Rousu 2024 Current Opinion in Structural Biology

Protein function prediction through multi-view multi-label latent tensor reconstruction

Robert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu 2024 BMC Bioinformatics

Learning symmetry-aware atom mapping in chemical reactions through deep graph matching

Maryam Astero, Juho Rousu 2024 JOURNAL OF CHEMINFORMATICS

Likelihood-free inference in state-space models with unknown dynamics

Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski 2024 STATISTICS AND COMPUTING

Bayesian cross-validation by parallel Markov chain Monte Carlo

Alex Cooper, Aki Vehtari, Catherine Forbes, Dan Simpson, Lauren Kennedy 2024 STATISTICS AND COMPUTING

Can docstring reformulation with an LLM improve code generation?

Nicola Dainese, Alexander Ilin, Pekka Marttinen 2024 EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

Ya Gao, Shaoxiong Ji, Pekka Marttinen 2024 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Generative AI for graph-based drug design: Recent advances and the way forward

Vikas Garg 2024 Current Opinion in Structural Biology

Bayesian reduced rank regression models generalizable neural fingerprints that differentiate between individuals in magnetoencephalography data

Joonas Haakana, Susanne Merz, Samuel Kaski, Hanna Renvall, Riitta Salmelin 2024 European Journal of Neuroscience

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol

Ira H. Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestu, Jorge Acosta-Hernandez, Soraya Alfonsin, Vebjorn Andersson, Abhilash Anand, Victor Ayllon, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruna, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffre, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Oksengard, Javier Olazaran, Teemu Paajanen, Jose M. Pena, Luis Pena, Daniel lrabien Peniche, Ana S. Perez, Mohamed Radwan, Federico Ramirez-Torano, Andrea Rodriguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstol, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini 2024 Frontiers in Neurorobotics
More information on our research in the Aalto research portal.
Research portal
PML research gropu at department of computer science, photo Matti Ahlgren

Research in Computer Science

Research in the Department of Computer Science

Department of Computer Science
Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

  • Published:
  • Updated: